Moiz Qureshi
Biographic Data
| ID | 7548390 |
|---|---|
| NAME | Moiz Qureshi |
| GIVEN NAMES | Moiz |
| FAMILY NAME | Qureshi |
| SIGNATURE | QURESHI M |
| AFFILIATIONS | Shaheed Benazir Bhutto University |
| ORCID | 0000-0003-4993-9433 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, and its incidence and prevalence are increasing in many countries. Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan. The c…
A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease Prediction
Cardiovascular disease (CVD) is a life-threatening disease rising considerably in the world. Early detection and prediction of CVD as well as other heart diseases might protect many lives. This requires tact clinical data analysis. The potential of predictive machine learning algorithms to develop the doctor’s perception is essential to all stakeholders in the health sector since it can augment the efforts of doctors to have a healthier climate f…
No prominent works on this page.
A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease Prediction
Cardiovascular disease (CVD) is a life-threatening disease rising considerably in the world. Early detection and prediction of CVD as well as other heart diseases might protect many lives. This requires tact clinical data analysis. The potential of predictive machine learning algorithms to develop the doctor’s perception is essential to all stakeholders in the health sector since it can augment the efforts of doctors to have a healthier climate f…
Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, and its incidence and prevalence are increasing in many countries. Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan. The c…
Artificial Intelligence in Healthcare (2 works) · Computer Science (2 works) · Disease (2 works) · Machine learning (2 works) · Medicine (2 works) · Absolute deviation (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Biostatistics (1 work)